Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Sim is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Sim
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Sim
Best first install candidate based on install readiness and adoption.
Freshest repo
Sim
Most recent maintenance signal among this shortlist.
| Signal | Pyspur A visual playground for agentic workflows: Iterate over your agents 10x faster | Haystack Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems. | SurfSense An open source, privacy focused alternative to NotebookLM for teams with no data limits. Join our Discord: https://discord.gg/ejRNvftDp9 | Sim Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 5.7K stars 0 installs | 26K stars 0 installs | 14K stars 0 installs | 29K stars 0 installs |
| Freshness | May 25, 2026 | Jun 12, 2026 | Jun 12, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, RAG, Claude Code | MDX, RAG, Claude Code, OpenAI Agents | Python, RAG, Claude Code, LangChain | TypeScript, RAG, Claude Code |
| Warnings | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 3 views 0 install copies | 2 views 0 install copies | 2 views 0 install copies | 4 views 0 install copies |
| Install | $ npx skills add PySpur-Dev/pyspur | $ npx skills add deepset-ai/haystack | $ npx skills add MODSetter/SurfSense | $ npx skills add simstudioai/sim |